#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import datetime
import decimal
from typing import Any, Tuple, TypeVar, Union, TYPE_CHECKING

import numpy as np
from pandas.api.extensions import ExtensionDtype

from pyspark.sql.column import Column as PySparkColumn
from pyspark.sql.connect.column import Column as ConnectColumn
from pyspark.sql.dataframe import DataFrame as PySparkDataFrame
from pyspark.sql.connect.dataframe import DataFrame as ConnectDataFrame


if TYPE_CHECKING:
    from pyspark.pandas.base import IndexOpsMixin
    from pyspark.pandas.frame import DataFrame
    from pyspark.pandas.generic import Frame
    from pyspark.pandas.indexes.base import Index
    from pyspark.pandas.series import Series


# TypeVars
T = TypeVar("T")

FrameLike = TypeVar("FrameLike", bound="Frame")
IndexOpsLike = TypeVar("IndexOpsLike", bound="IndexOpsMixin")

# Type aliases
Scalar = Union[
    int, float, bool, str, bytes, decimal.Decimal, datetime.date, datetime.datetime, None
]

# TODO: use the actual type parameters.
Label = Tuple[Any, ...]
Name = Union[Any, Label]

Axis = Union[int, str]
Dtype = Union[np.dtype, ExtensionDtype]

DataFrameOrSeries = Union["DataFrame", "Series"]
SeriesOrIndex = Union["Series", "Index"]

# For Spark Connect compatibility.
GenericColumn = Union[PySparkColumn, ConnectColumn]
GenericDataFrame = Union[PySparkDataFrame, ConnectDataFrame]
